That "kindly old investigator," Mr. Keen, sought missing persons and unraveled crimes longer than any other fictional detective ever heard or seen on the air. For 18 years (1937-1955) and 1690 nationwide broadcasts, Keen and his faithful assistant Mike Clancy kept listeners coming back for more. The nearest competitor, Nick Carter, Master Detective, ran for 726 broadcasts. This definitive history recounts the actors and creators behind the series, the changes the show underwent, and the development of the Mr. Keen character. A complete episode guide details all of the program's 1,690 broadcasts.
“Our community has continued to grow exponentially, thanks to those who inspire the next generation. And inspiring the next generation is what the authors of Analyzing Baseball Data with R are doing. They are setting the career path for still thousands more. We all need some sort of kickstart to take that first or second step. You may be a beginner R coder, but you need access to baseball data. How do you access this data, how do you manipulate it, how do you analyze it? This is what this book does for you. But it does more, by doing what sabermetrics does best: it asks baseball questions. Throughout the book, baseball questions are asked, some straightforward, and others more thought-provoking.” From the Foreword by Tom Tango Analyzing Baseball Data with R Third Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available for download online. New to the third edition is the revised R code to make use of new functions made available through the tidyverse. The third edition introduces three chapters of new material, focusing on communicating results via presentations using the Quarto publishing system, web applications using the Shiny package, and working with large data files. An online version of this book is hosted at https://beanumber.github.io/abdwr3e/.
Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.
From the coauthor of the #1 New York Times bestselling American Sniper comes a remarkable true story of heroism and sacrifice in World War II. In the darkest days of 1942, an Allied force set out to capture the Nazi-occupied French port of Dieppe. More than two years had passed since the British had been humiliated at Dunkirk, and nearly nine months since the surprise attack on Pearl Harbor. The Germans held the continent in a death grip. Now, some six thousand British and Canadian troops were attempting to gain a foothold on Hitler's domain. Joining the crusaders were fifty hand-selected, specially-trained soldiers from a new commando unit. These were to be the first Americans to fight in Europe, and they would become known as the U.S. Army Rangers. The mission was doomed, but the bravery the Rangers displayed proved that Americans were every bit as tough as their allies and enemies. Drawn from firsthand accounts and historical documents, this is an unforgettable story of the forging of an American legacy that still endures today. “[A] carefully researched and brilliantly executed narrative of the modern Rangers’ baptism in blood.”—America in WWII
This is the story of Col. Max F. Schneider, one of the original U.S. Ranger officers from the time they were formed until after the Allied invasion of the Normandy Coast where he commanded his own battalion of Rangers. The book follows his life through the post-war years leading to his tragic death in Korea in 1959.
Adopting a political constitutionalist view of the British constitution, this book critically explores the history of legal and political thought on parliamentary sovereignty in the UK. It argues that EU membership strongly unsettled the historical precedents underpinning UK parliamentary sovereignty. Successive governments adopted practices which, although preserving fundamental legal rules, were at odds with past precedents. The author uses three key EU case studies – the financial transactions tax, freedom of movement of persons, and the working time directive – to illustrate that since 1973 the UK incorporated EU institutions which unsettled those precedents. The book further shows that the parliament’s place since the referendum on Brexit in June 2016 and the scrutinising of the terms of the withdrawal agreement constitute an enhanced, new constitutional resettlement, and a realignment of parliament with the historical precedent of consent and its sovereignty.
What transformed Daniel and Philip Berrigan from conventional Roman Catholic priests into ?holy outlaws??for a time the two most wanted men of J. Edgar Hoover's FBI? And how did they evolve from their traditionally pious, second-generation immigrant beginnings to become the most famous (some would say notorious) religious rebels of their day?Disarmed and Dangerous, the first full-length unauthorized biography of the Berrigans, answers these questions with an incisive and illuminating account of their rise to prominence as civil rights and antiwar activists. It also traces the brothers' careers as constant thorns in the side of church authority as well as their leadership of the ongoing Plowshares movement?a highly controversial campaign of civil disobedience against the contemporary arms trade and nuclear weapons.Murray Polner and Jim O'Grady plumb the Berrigans' contradictions: among them, Philip's secret marriage, while he was still a Josephite priest, to Elizabeth McAlister, then a Catholic nun, which led to their dismissals by their respective religious orders and Philip's excommunication from the church; and Daniel's speech faulting Israel's treatment of Palestinians, and the resulting criticism loosed upon him from pro-Israeli Americans and many of his allies on the left.Disarmed and Dangerous is a fascinating study of brothers linked by faith and the dreams of peace and social justice in a century bloodied by war, mass murders, and weapons of immense destructive power. It is, above all, an original contribution to modern American history that is sure to be widely read and discussed.
With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the traditional graphics functions in the base package and introduce more sophisticated graphical displays available through the lattice and ggplot2 packages. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and fielding measures. Each chapter contains exercises that encourage readers to perform their own analyses using R. All of the datasets and R code used in the text are available online. This book helps readers answer questions about baseball teams, players, and strategy using large, publically available datasets. It offers detailed instructions on downloading the datasets and putting them into formats that simplify data exploration and analysis. Through the book’s various examples, readers will learn about modern sabermetrics and be able to conduct their own baseball analyses.
This is the story of Michael Morgan, son of Charlie and Lucy Morgan of Wyoming, who are introduced in Hoofprints in the Snow. Michael is on his way from a suburb of Los Angeles, California, to Wheatland, Wyoming, to see his dying mother. Along the way, Michael reviews many important episodes in his life which shaped his present. Thomas Wolfe said You cant go home again. But Michael does go home, realizing that, after almost fifty years, things are not the same and home is not the same as his memories.
In the early days of radio, producers, directors and scriptwriters were well aware of the listening public's fascination with subject matter tinged with wrongdoing. Stories of right and wrong, crime and punishment, and law and order kept audiences of every age hooked for more than thirty years. This work covers 300+ syndicated radio mystery and adventure serials that aired in the early or middle twentieth century. To be included, a series must have had one or more regularly appearing characters who fought against espionage, theft, murder and other crimes. Each entry includes series name, air dates, sponsor, extant episodes, cast information and synopsis.
Exploring Operations Research with R shows how the R programming language can be a valuable tool – and way of thinking – which can be successfully applied to the field of operations research (OR). This approach is centred on the idea of the future OR professional as someone who can combine knowledge of key OR techniques (e.g., simulation, linear programming, data science, and network science) with an understanding of R, including tools for data representation, manipulation, and analysis. The core aim of the book is to provide a self-contained introduction to R (both Base R and the tidyverse) and show how this knowledge can be applied to a range of OR challenges in the domains of public health, infectious disease, and energy generation, and thus provide a platform to develop actionable insights to support decision making. Features Can serve as a primary textbook for a comprehensive course in R, with applications in OR Suitable for post-graduate students in OR and data science, with a focus on the computational perspective of OR The text will also be of interest to professional OR practitioners as part of their continuing professional development Linked to a Github repository including code, solutions, data sets, and other ancillary material
For decades, centuries even, when people thought of spirituality, they thought only of religion. I aim to stretch the tent of spirituality in this e-book to include secular experience. My particular approach to secular spirituality is through the medium of film. Characters in the 43 films I discuss come to spirituality without religion. In some of these films, religion nibbles at the edges of events, as when, in the Brazilian film Central Station, Dora, the cynical letter writer leaves hard-bitten Rio with a boy she hopes to return to his father and finds herself surrounded by evangelicals, shrines, and churches. She does not have any kind of religious conversion, but there is no denying that the piety of the countryside softened her and escorted her into spirituality. Now and then I quote assorted Buddhists, Muslims, Christians and Jews, but usually only when their remarks throw light on secular matters. I have avoided relying on muddled mystics who write about the Great Turning Cosmic Oneness of Everything. I dont know what they are talking about.
While several available texts discuss molded plastic optics, none provide information on all classes of molded optics. Filling this gap, Molded Optics: Design and Manufacture presents detailed descriptions of molded plastic, glass, and infrared optics. Since an understanding of the manufacturing process is necessary to develop cost-effective, produ
This reference work contains exhaustive histories of 31 of network radio's most durable soap operas on the air between 1930 and 1960. The soap operas covered are Aunt Jenny's Real Life Stories, Backstage Wife, Big Sister, The Brighter Day, David Harum, Front Page Farrell, The Guiding Light, Hilltop House, Just Plain Bill, Life Can Be Beautiful, The Light of the World, Lora Lawton, Lorenzo Jones, Ma Perkins, One Man's Family, Our Gal Sunday, Pepper Young's Family, Perry Mason, Portia Faces Life, The Right to Happiness, Road of Life, The Romance of Helen Trent, Rosemary, The Second Mrs. Burton, Stella Dallas, This Is Nora Drake, Today's Children, Wendy Warren and the News, When a Girl Marries, Young Doctor Malone, and Young Widder Brown. Included for each series are the drama's theme and story line, an in-depth focus on the major characters, and a listing of producers, directors, writers, announcers, casts, sponsors, ratings, and broadcast dates, times and networks. Profiles of 158 actors, actresses, creators and others who figured prominently in a serial's success are also provided.
On June 28, 1868, a group of men gathered alongside a road 35 miles north of Albuquerque to witness a 165-round, 6-hour bare-knuckle brawl between well-known Colorado pugilist Barney Duffy and "Jack," an unidentified fighter who died of his injuries. Thought to be the first "official" prizefight in New Mexico, this tragic spectacle marked the beginning of the rich and varied history of boxing in the state. Oftentimes an underdog in its battles with the law and public opinion, boxing in New Mexico has paralleled the state's struggles and glories, through the Wild West, statehood, the Depression, war, and economic growth. It is a story set in boomtowns, ghost towns and mining camps, along railroads and in casinos, and populated by cowboys, soldiers, laborers, barrio-bred locals and more. This work chronicles more than 70 years of New Mexico's colorful boxing past, representing the most in-depth exploration of prizefighting in one region yet undertaken.
A comprehensive history of working people in Saskatchewan, from the mid-1800s to the present, in a handsome coffee-table format, including numerous historical photos of the personalities and events that bring it to life. This book is created for the working people that it celebrates. In a plain-spoken and engaging narrative style, it captures the events and the personalities that shaped the working people of Saskatchewan, and the life of the province that those workers built. Jim Warren tells the fascinating tale of jobs, working conditions, and the attempts to effect meaningful changes in the condition of workers' lives. Starting with the Fur Trade period, and moving through the arrival of the railroad brotherhoods, the emergence of the craft unions, two world wars, modernization, and into the present age, Working in Saskatchewan shows the evolution of the work force, and the relationship between that work force and both private and public sector employers. The book wraps up with a short chapter on the imagined future of labour in the province, in the voices of a series of speakers ranging from former Premier Allan Blakeney to ordinary workers on the floor of a recent sfl convention. Working in Saskatchewan also includes a number of features that will make it even more useful for private study or school work. Two comprehensive indexes detail the chief characters who played a role in the development of the labour movement, and a list of events and important topics. A series of informational appendices present statistical information relating to the Saskatchewan labour force - size of the organized and unorganized labour force, number of women in the work force, etc. There will also be ahelpful glossary of the acronyms and abbreviations that characterize written or oral discussions about labour, and a geneology of labour which charts the rise and growth of certain unions and their transformation into, or absorption by, others.
“Brosnan obviously knows his baseball, writes about it wittily, informally and with irony. He is a cynical, tough professional athlete and his book makes wonderful reading.”—New Yorker From the author of The Long Season—considered by many to be the greatest baseball book of all time—comes another classic sports memoir by legendary pitcher Jim Brosnan, which chronicles how his team, the Cincinnati Reds, went on to win the 1961 National League pennant. In Pennant Race, Brosnan—with his trademark wise-guy wit and plain-spoken practicality—once again offers a refreshingly candid alternative to hackneyed baseball mythologizing. Day by day, game by game, Brosnan reveals the real lives of professional ballplayers: their exhilaration and frustration, hope and despair, chronic worry over job security, playful camaraderie, world-weary cynicism, and boyish—if cautious—optimism. Although the Reds would ultimately lose the World Series to the Yankees, for Brosnan and his teammates, this was a winning season. Pennant Race vividly captures a remarkable year in the life of a ball club and the golden age of one of Major League Baseball’s most memorable eras.
In this compendium of all things Moxie, Maine author Jim Baumer shows us why this soft drink has garnered such a loyal and vocal following. Through history, photos, festivals, and more, Moxie: Maine in a Bottle will make you feel like you have Moxie too! Representing old-fashioned values and a sense of community, Moxie is a heaping slice of Americana delivered Maine-style.
This book provides a detailed study of Icelandic argument structure alternations within a syntactic theory of argument structure. Building on recent theorizing within the Minimalist Program and Distributed Morphology, the author proposes that much of what is traditionally attributed to syntax should be relegated to the interfaces, and adapts the late insertion theory of morphology to semantics. The resulting system forms sound-meaning pairs by generating hierarchical structures that can be translated into morphological representations, on the one hand, and semantic representations, on the other. The syntactic primitives, however, underdetermine both morphophonology and semantics. Without appealing to special stipulations, the theory derives constraints on the external argument of causative-alternation verbs, interpretive restrictions on nominative objects, and the optionally agentive interpretation of verbs denoting self-directed motion.
From the classic history of the Milwaukee Brewers, such as the stats of a young Robin Yount and the team s dramatic 2011 playoff run, to the lesser known trivia of the National League team, including which city the franchise relocated from after its founding year or the opposing player that attacked a fan dressed like an Italian sausage, this book for fans has it all. Collected into a fun-to-read one to 100 format, the book combines fan-favorite memories with challenging trivia and suggestions for the ultimate fan adventuresincluding the best places in Wisconsin to grab a drink or have a meal before a game.
This 17th volume from the series of bibliographies of the 18th century is divided into sections on: printing and bibliographic studies; historical, social and economic studies; philosophy, science and religion; the fine arts; literary studies; and individual authors.
In this compendium of all things Moxie, Maine author Jim Baumer shows us why this soft drink has garnered such a loyal and vocal following. Through history, photos, festivals, and more, Moxie: Maine in a Bottle will make you feel like you have Moxie too! Representing old-fashioned values and a sense of community, Moxie is a heaping slice of Americana delivered Maine-style.
Containing the most extensive listing of movies available on video and a multitude of cross-referencing within its 10 primary indexes, this new edition includes 1,000 new movies (23,000 in all), expanded indexing, a fresh new introduction and more of the beloved categories.
“Our community has continued to grow exponentially, thanks to those who inspire the next generation. And inspiring the next generation is what the authors of Analyzing Baseball Data with R are doing. They are setting the career path for still thousands more. We all need some sort of kickstart to take that first or second step. You may be a beginner R coder, but you need access to baseball data. How do you access this data, how do you manipulate it, how do you analyze it? This is what this book does for you. But it does more, by doing what sabermetrics does best: it asks baseball questions. Throughout the book, baseball questions are asked, some straightforward, and others more thought-provoking.” From the Foreword by Tom Tango Analyzing Baseball Data with R Third Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available for download online. New to the third edition is the revised R code to make use of new functions made available through the tidyverse. The third edition introduces three chapters of new material, focusing on communicating results via presentations using the Quarto publishing system, web applications using the Shiny package, and working with large data files. An online version of this book is hosted at https://beanumber.github.io/abdwr3e/.
Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.
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